Package: GenAlgo 2.2.1

Kevin R. Coombes

GenAlgo: Classes and Methods to Use Genetic Algorithms for Feature Selection

Defines classes and methods that can be used to implement genetic algorithms for feature selection. The idea is that we want to select a fixed number of features to combine into a linear classifier that can predict a binary outcome, and can use a genetic algorithm heuristically to select an optimal set of features.

Authors:Kevin R. Coombes [aut, cre]

GenAlgo_2.2.1.tar.gz
GenAlgo_2.2.1.tar.gz(r-4.6-any)GenAlgo_2.2.1.tar.gz(r-4.5-any)
GenAlgo_2.2.1.tgz(r-4.5-emscripten)
GenAlgo.pdf |GenAlgo.html✨
GenAlgo/json (API)
NEWS

# Install 'GenAlgo' in R:
install.packages('GenAlgo', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/oompa

Datasets:

On CRAN:

Conda:

microarrayclustering

2.23 score 17 scripts 450 downloads 13 exports 9 dependencies

Last updated from:65e538b83f. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK103
source / vignettesOK164
linux-release-x86_64OK103
wasm-releaseOK93

Exports:as.data.frameas.matrixGenAlghistimagemahanewGenerationplotpopDiversityselectionFitnessselectionMutatesimpleMutatesummary

Dependencies:BiobaseBiocGenericsClassDiscoveryclustergenericsMASSmclustoompaBaseoompaData

OOMPA GenAlgo

Rendered fromgenalg.Rnwusingutils::Sweaveon Apr 02 2026.

Last update: 2018-10-17
Started: 2017-07-13

Readme and manuals

Help Manual

Help pageTopics
Results of a Genetic Algorithmdiversity fitter gaTourResults meanfit recurse
A generic Genetic Algorithm for feature selectionGenAlg newGeneration popDiversity
Class "GenAlg"as.data.frame,GenAlg-method as.matrix,GenAlg-method GenAlg-class summary,GenAlg-method
Utility functions for selection and mutation in genetic algorithmsGenAlg-tools selectionFitness selectionMutate simpleMutate
Compute the (squared) Mahalanobis distance between two groups of vectorsmaha
Tour de France 2009tourData09